CircuitHub
CircuitHub
CircuitHub provides an online platform for on-demand printed circuit board assembly, serving electronics engineers who need prototypes or small production runs. Its automated workflow lets customers upload design files, get an instant quote, and follow an order through manufacturing and delivery. The company focuses on low-volume, fast-turnaround PCB assembly, helping engineering teams move designs from prototype toward production.

Computer Vision Software Engineer

Build computer vision systems for CircuitHub’s robotics-powered electronics manufacturing platform, including inspection, component picking, alignment, and real-time GPU vision.

Apraksts

  • Enhance automated optical inspection to identify missing, rotated, misplaced, or poorly soldered components.
  • Train and deploy models to locate components in bins and trays, centre them on the nozzle, and detect clumped or dropped picks.
  • Implement fiducial detection, calibration, and image alignment for precise component placement.
  • Determine what data to capture, create labelling tools, and turn operator verdicts into training data.
  • Work with high-speed cameras and the GPU capture pipeline to bring vision processing closer to real time.
  • Monitor production accuracy, find sources of errors, and validate changes against historical results.
  • Collaborate with AI agents and help scale CircuitHub’s factory robotics platform, The Grid.

Prasības

  • You have shipped computer vision systems to production, beyond notebook prototypes.
  • You have strong software engineering skills in Python, C++, or a comparable language.
  • You have experience with both classical vision techniques, such as geometry, calibration, and template matching, and deep learning, and know when to use each.
  • Experience with industrial or machine vision cameras is a plus.
  • You use coding agents to work faster and take full ownership of their output.
  • You enjoy working with physical systems, including lighting, lenses, and components rotated by 90 degrees.
  • You have experience with OpenCV, PyTorch and Lightning, ONNX Runtime on GPU, and libtorch from Haskell.
  • You have experience with Basler GigE cameras using pylon and high-speed cameras with GPUDirect capture.
  • You have experience with Python, Haskell, PostgreSQL, Nix, and NixOS.

Priekšrocības

  • Equity
  • Competitive salary

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